Is International Oil Price Chaotic? -Empirical Evidence From Spot Market

被引:0
|
作者
Zhao, Lin [1 ]
Wang, Zhen [1 ]
Chen, Chuanying [1 ]
机构
[1] China Univ Petr, Sch Business Adm, Beijing, Peoples R China
关键词
oil price; chaos; fractal; time series; TIME-SERIES;
D O I
10.1109/BIFE.2009.146
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
International oil market is presented as a complex system with non-linear characteristics, in which oil price is affected by a set of different factors. In order to test if the international oil price chaotic or not, the Phase Space Reconstruction Technique (PSRT) is used to reorder the time series, and the methods of improved G-P algorithm, non-bias autocorrelation, Wolf algorithm and Correlation integral are applied respectively to obtain embedded dimensions, time delay, the largest Lyapunov exponent and Kolmogorov entropy. Empirical results demonstrate that international oil price is a nonlinear dynamic system with chaotic and fractal feature, so that traditional statistical models are not competent in accurate depiction of the underlying dynamics. Long-term prediction of oil price is of little credibility, while short-term prediction within the range of effective predictable time is practical and meaningful.
引用
收藏
页码:621 / 624
页数:4
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